% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 4577 % Primary Name: CANUNGRA LAND WARFARE CENTRE % Record Type: TAVG % Country: Australia % Latitude: -28.02720 +/- 0.00005 % Longitude: 153.17940 +/- 0.00005 % Elevation (m): 120.00 +/- 0.50 % # of Months: 73 % % IDs: ghcnd - ASN00040852 % % Sources: Global Historical Climatology Network - Daily % % Site Hash: b9115f08d39089077d54c5cfaff28da4 % Raw Data Hash: 860b3b31574f4f0d41cc4ccff742ff49 % Adj Data Hash: c3210bd49010bb09bcbc1e1ae7695e77 % % The data for this station is presented below in several columns and in % several forms. The temperature values are reported as "raw", % "adjusted", and "regional expectation". % % The "raw" values reflect the observations as originally ingested by % the Berkeley Earth system from one or more originating archive(s). % These "raw" values may reflect the merger of more than one temperature % time series if multiple archives reported values for this location. % Alongside the raw data we have also provided a flag indicating which % values failed initial quality control checks. A further column % dates at which the raw data may be subject to continuity "breaks" % due to documented station moves (denoted "1"), prolonged measurement % gaps (denoted "2"), documented time of observation changes (denoted "3") % and other empirically determined inhomogeneities (denoted "4"). % % In many cases, raw temperature data contains a number of artifacts, % caused by issues such as typographical errors, instrumentation changes, % station moves, and urban or agricultural development near the station. % The Berkeley Earth analysis process attempts to identify and estimate % the impact of various kinds of data quality problems by comparing each % time series to neighboring series. At the end of the analysis process, % the "adjusted" data is created as an estimate of what the weather at % this location might have looked like after removing apparent biases. % This "adjusted" data will generally to be free from quality control % issues and be regionally homogeneous. Some users may find this % "adjusted" data that attempts to remove apparent biases more % suitable for their needs, while other users may prefer to work % with raw values. % % Lastly, we have provided a "regional expectation" time series, based % on the Berkeley Earth expected temperatures in the neighborhood of the % station. This incorporates information from as many weather stations as % are available for the local region surrounding this location. Note % that the regional expectation may be a systematically a bit warmer or % colder than the weather stations by a few degrees due to differences % in mean elevation and other local characteristics. % % For each temperature time series, we have also included an "anomaly" % time series that removes both the seasonality and the long-term mean. % These anomalies may provide an easier way of seeing changes through % time. % % Reported temperatures are in Celsius and reflect monthly averages. As % these files are intended to be summaries for convenience, additional % information, including more detailed flagging and metadata, may be % available in our whole data set files. % % The Berkeley Earth analysis was run on 15-Nov-2013 19:55:48 % % Raw Data QC Continuity Adjusted Data Regional Expectation % Year, Month, Temperature, Anomaly, Failed, Breaks, Temperature, Anomaly, Temperature, Anomaly 1991 4 NaN NaN NaN NaN NaN NaN 21.167 0.427 1991 5 NaN NaN NaN NaN NaN NaN 19.492 1.374 1991 6 NaN NaN NaN NaN NaN NaN 18.253 1.909 1991 7 NaN NaN NaN NaN NaN NaN 15.126 -0.015 1991 8 NaN NaN NaN NaN NaN NaN 16.370 0.684 1991 9 NaN NaN NaN NaN NaN NaN 18.083 0.823 1991 10 NaN NaN NaN NaN NaN NaN 19.846 0.714 1991 11 NaN NaN NaN NaN NaN NaN 21.731 0.635 1991 12 NaN NaN NaN NaN NaN NaN 22.333 -0.049 1992 1 NaN NaN NaN NaN NaN NaN 23.984 0.933 1992 2 NaN NaN NaN NaN NaN NaN 23.816 0.581 1992 3 NaN NaN NaN NaN NaN NaN 22.747 0.117 1992 4 19.051 0.069 0 0 19.158 0.176 20.963 0.222 1992 5 16.140 -0.219 0 0 16.248 -0.111 18.574 0.456 1992 6 12.292 -2.294 0 0 12.399 -2.187 16.242 -0.102 1992 7 11.955 -1.428 0 0 12.062 -1.320 15.696 0.555 1992 8 13.165 -0.763 0 0 13.272 -0.656 16.238 0.552 1992 9 15.532 0.031 0 0 15.639 0.138 17.379 0.119 1992 10 16.940 -0.433 0 0 17.048 -0.325 18.543 -0.589 1992 11 20.640 1.302 0 0 20.747 1.410 21.316 0.220 1992 12 21.800 1.177 0 0 21.908 1.284 22.176 -0.206 1993 1 23.647 2.354 0 0 23.754 2.461 23.811 0.760 1993 2 23.520 2.042 0 0 23.627 2.150 24.161 0.925 1993 3 21.548 0.676 0 0 21.656 0.784 22.720 0.089 1993 4 18.542 -0.440 0 0 18.649 -0.333 20.911 0.171 1993 5 16.228 -0.131 0 0 16.335 -0.023 19.048 0.931 1993 6 13.092 -1.494 0 0 13.199 -1.387 16.795 0.451 1993 7 15.558 2.175 0 0 15.666 2.283 18.289 3.148 1993 8 13.719 -0.208 0 0 13.827 -0.101 16.669 0.983 1993 9 15.600 0.099 0 0 15.708 0.207 17.545 0.285 1993 10 18.713 1.340 0 0 18.821 1.447 19.454 0.322 1993 11 20.625 1.287 1 0 NaN NaN 20.935 -0.160 1993 12 22.001 1.378 1 0 NaN NaN 22.130 -0.252 1994 1 24.646 3.354 1 0 NaN NaN 24.309 1.258 1994 2 22.307 0.830 1 0 NaN NaN 22.717 -0.518 1994 3 21.126 0.254 1 0 NaN NaN 21.664 -0.966 1994 4 NaN NaN NaN NaN NaN NaN 20.402 -0.339 1994 5 NaN NaN NaN NaN NaN NaN 17.846 -0.271 1994 6 NaN NaN NaN NaN NaN NaN 16.407 0.063 1994 7 10.876 -2.506 1 0 NaN NaN 15.347 0.206 1994 8 11.292 -2.636 1 0 NaN NaN 15.289 -0.397 1994 9 15.153 -0.348 1 0 NaN NaN 17.453 0.194 1994 10 NaN NaN NaN NaN NaN NaN 18.941 -0.191 1994 11 NaN NaN NaN NaN NaN NaN 22.381 1.285 1994 12 22.262 1.639 0 2 22.215 1.591 22.357 -0.025 1995 1 22.889 1.596 0 0 22.841 1.548 23.103 0.052 1995 2 23.162 1.685 0 0 23.115 1.638 23.263 0.027 1995 3 22.216 1.344 0 0 22.169 1.297 23.456 0.826 1995 4 18.305 -0.677 0 0 18.257 -0.725 20.755 0.015 1995 5 16.581 0.222 1 0 NaN NaN 19.314 1.197 1995 6 13.550 -1.036 1 0 NaN NaN 17.053 0.708 1995 7 11.926 -1.457 0 0 11.878 -1.504 15.522 0.381 1995 8 13.673 -0.255 0 0 13.625 -0.303 16.559 0.873 1995 9 16.309 0.808 0 0 16.261 0.760 18.171 0.912 1995 10 18.800 1.427 1 0 NaN NaN 19.474 0.342 1995 11 NaN NaN NaN NaN NaN NaN 22.661 1.565 1995 12 22.127 1.504 0 0 22.080 1.456 22.169 -0.213 1996 1 24.182 2.890 0 0 24.135 2.842 23.757 0.706 1996 2 22.728 1.250 0 0 22.680 1.203 23.235 -0.001 1996 3 21.023 0.151 0 0 20.975 0.103 22.399 -0.232 1996 4 19.178 0.196 0 0 19.131 0.149 21.192 0.452 1996 5 17.100 0.741 0 0 17.052 0.694 19.309 1.191 1996 6 14.447 -0.139 0 0 14.399 -0.187 17.981 1.637 1996 7 11.748 -1.634 0 0 11.701 -1.682 15.402 0.261 1996 8 13.490 -0.437 0 0 13.443 -0.485 16.413 0.727 1996 9 16.565 1.064 0 0 16.517 1.016 18.131 0.871 1996 10 18.452 1.078 0 0 18.404 1.031 19.348 0.217 1996 11 20.878 1.541 0 0 20.831 1.493 21.487 0.391 1996 12 21.924 1.301 0 0 21.877 1.253 22.214 -0.168 1997 1 21.421 0.128 0 0 21.373 0.081 21.872 -1.179 1997 2 24.004 2.526 0 0 23.956 2.479 24.257 1.021 1997 3 21.742 0.870 0 0 21.694 0.822 23.204 0.574 1997 4 18.588 -0.394 0 0 18.541 -0.441 21.024 0.283 1997 5 16.232 -0.127 0 0 16.185 -0.174 18.986 0.868 1997 6 12.892 -1.694 0 0 12.844 -1.742 16.874 0.530 1997 7 12.363 -1.020 0 0 12.315 -1.067 15.879 0.738 1997 8 12.515 -1.413 0 0 12.467 -1.461 15.770 0.084 1997 9 16.592 1.091 0 0 16.544 1.043 18.296 1.037 1997 10 18.366 0.993 0 0 18.319 0.945 19.282 0.150 1997 11 21.938 2.601 0 0 21.891 2.553 22.243 1.147 1997 12 24.373 3.749 0 0 24.325 3.702 24.253 1.871 1998 1 23.608 2.315 0 0 23.561 2.268 23.872 0.821 1998 2 24.582 3.105 0 0 24.535 3.057 24.965 1.730 1998 3 23.002 2.130 0 0 22.954 2.082 24.431 1.800 1998 4 20.208 1.226 0 0 20.161 1.179 22.065 1.325 1998 5 16.481 0.122 0 0 16.433 0.074 19.184 1.066 1998 6 13.973 -0.612 0 0 13.926 -0.660 17.356 1.012 1998 7 13.616 0.234 0 0 13.569 0.186 16.650 1.509 1998 8 15.044 1.116 0 0 14.996 1.068 17.284 1.598 1998 9 17.453 1.952 0 0 17.406 1.905 18.830 1.570 1998 10 19.173 1.799 0 0 19.125 1.752 20.120 0.989 1998 11 NaN NaN NaN NaN NaN NaN 20.058 -1.038 1998 12 NaN NaN NaN NaN NaN NaN 22.734 0.352 1999 1 NaN NaN NaN NaN NaN NaN 23.508 0.457 1999 2 NaN NaN NaN NaN NaN NaN 23.199 -0.037 1999 3 NaN NaN NaN NaN NaN NaN 23.451 0.821 1999 4 NaN NaN NaN NaN NaN NaN 20.255 -0.485 1999 5 NaN NaN NaN NaN NaN NaN 19.445 1.328 1999 6 NaN NaN NaN NaN NaN NaN 16.777 0.433 1999 7 NaN NaN NaN NaN NaN NaN 16.387 1.246 1999 8 NaN NaN NaN NaN NaN NaN 16.071 0.385 1999 9 NaN NaN NaN NaN NaN NaN 17.789 0.530 1999 10 NaN NaN NaN NaN NaN NaN 19.973 0.841